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huatangzhi /
Created Mar 18, 2018 — forked from beeva-albertorincon/
Stanford cars dataset extraction
# encoding:utf8
from import loadmat
import pandas as pd
import numpy as np
mat_train = loadmat('devkit/cars_train_annos.mat')
mat_test = loadmat('devkit/cars_test_annos.mat')
meta = loadmat('devkit/cars_meta.mat')
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# coding=utf-8
import urllib
import time
url = [''] * 350
page = 1
while page <= 7:
con = urllib.urlopen(''+ str(page)+ '.html').read()
i = 0
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